An adaptive honeypot using Q-Learning with severity analyzer-Reference-Cited by-同舟云学术

An adaptive honeypot using Q-Learning with severity analyzer

Published:2021-04-08 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Suratkar Shraddha^ORCID,Shah Kunjal^ORCID,Sood Aditya^ORCID,Loya Anay^ORCID,Bisure Dhaval^ORCID,Patil Umesh^ORCID,Kazi Faruk^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-021-03229-2.pdf

Reference36 articles.

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3. Bringer ML, Chelmecki CA, Fujinoki H (2012) A survey: recent advances and future trends in honeypot research. Int J Comput Netw Inform Security 4(10):63

4. Catuogno, L., Castiglione, A. & Palmieri, F. (2015) A honeypot system with honeyword-driven fake interactive sessions. In: 2015 international conference on high performance computing & simulation (HPCS), IEEE, pp. 187–194

5. Dowling, S., Schukat, M. & Barrett, E. (2018) Using reinforcement learning to conceal honeypot functionality. In: Joint European conference on machine learning and knowledge discovery in databases, Springer, pp. 341–355

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